Text-based language identification for the South African languages
We investigate the factors that determine the performance of text-based language identification, with a particular focus on the 11 official languages of South Africa. Our study uses n-gram statistics as features for classification. In particular, we compare support vector machines, Naïve Bayesian an...
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2013
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| Online Access: | http://hdl.handle.net/2263/27725 http://upetd.up.ac.za/thesis/available/etd-09042008-133715/ |